refresh

热门公司

Trending

招聘

JobsBloomberg

Sustainability Specialist Data Management Solutions Lead

Bloomberg

Sustainability Specialist Data Management Solutions Lead

Bloomberg

·

On-site

·

Full-time

·

6d ago

Sustainability Specialist, Data Management & Solutions Lead
Bloomberg's Global Sustainability Office (GSO) is responsible for the development and execution of Bloomberg's enterprise-wide sustainability strategy, program implementation, and external reporting.

The GSO collaborates across the business to set comprehensive ESG-related objectives, targets and action plans that drive the business towards its global sustainability commitments.

We are looking for a Data Management & Solutions Lead to lead the strategy and delivery of sustainability data workflows and internal tools to support our enterprise-wide sustainability efforts.

In this role, you will own corporate sustainability data assets end to end, from data taxonomy development and ingestion to internal tools and analytics.

You will work closely with Sustainability stakeholders and Data Engineering teams to ensure Bloomberg's corporate sustainability data is trusted, scalable, and fit for both operational and analytical use.

  • What You’ll Do
  • Own the product vision and roadmap for sustainability data workflows and internal tools Define and maintain sustainability data taxonomies, metrics, and metadata Lead requirements development for internal data upload tools and third party data ingestion pipelines
  • Design data workflows that support audit-ready sustainability reporting
  • Translate evolving sustainability regulations and standards into scalable data requirements
  • Drive integration of sustainability data from internal systems and third-party providers into our central data lake
  • Enable high quality analytics, dashboards, and reporting on sustainability data Partner cross functionally to prioritize work, define requirements, and deliver value
  • You’ll Need to have
  • 5+ years of experience in data product management, data ownership, data engineering focused roles Hands on experience translating business requirements into scalable data solutions, with production-level programming expertise in Python, SQL, or comparable languages.
  • Product mindset thinking and prioritization Strong understanding of data modeling, ingestion, validation, and analytics workflows

Experience: owning internal data platforms, tooling, and data mapping Excellent communication and stakeholder management skills

Experience: with Agile scrum and product requirements development.

Hands on experience with agile tools (JIRA, Confluence) and BI dashboards (Qlik Sense, Power BI).

We'd love to see

Experience: with sustainability, ESG, or climate-related data reporting Familiarity with frameworks such as GHG Protocol, CSRD, ISSB, TCFD, or SBTi

Experience: working with enterprise data lakes and BI platform

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Bloomberg

Bloomberg

Bloomberg

Public

Bloomberg provides financial software, data, and media services to financial professionals and institutions worldwide. The company operates Bloomberg Terminal, a computer software system that enables professionals to access real-time financial market data and trading tools.

10,001+

Employees

Midtown Manhattan

Headquarters

Reviews

4.0

15 reviews

Work Life Balance

4.2

Compensation

4.5

Culture

3.2

Career

3.0

Management

2.8

65%

Recommend to a Friend

Pros

High compensation and competitive total compensation

Good work-life balance

Company stability and job security

Cons

Slow career progression and promotion speed

Management issues and micromanagement

Limited remote work flexibility

Salary Ranges

9,877 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

Junior/L3 · Data Scientist

0 reports

$202,310

total / year

Base

-

Stock

-

Bonus

-

$171,963

$232,657

Interview Experience

14 interviews

Difficulty

2.9

/ 5

Duration

14-28 weeks

Offer Rate

21%

Experience

Positive 50%

Neutral 29%

Negative 21%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Rounds/Superday

5

Virtual/Onsite Interviews

6

Final Decision

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience